Just like some problems are too big for one person to solve, some tasks are too complex for a single AI agent. Instead, the best approach is to decompose problems into smaller, specialized units, ...

Setting up OpenClaw, an autonomous multi-agent system, involves several important decisions to ensure a functional and secure setup. Tina Huang demonstrates how this can be achieved efficiently, ...

What if your AI could think like a hive mind, tackling complex problems with the precision of 100 synchronized agents? In this guide, Sam Witteveen explains how Kimi K2.5’s new Agent Swarm system is ...

Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...

As artificial intelligence (AI) becomes more common in health care, from managing records to assisting with medication decisions, researchers at the Icahn School of Medicine at Mount Sinai are asking ...

One of the key challenges of current multi-agent AI systems is that they communicate by generating and sharing text sequences, which introduces latency, drives up token costs, and makes it difficult ...

Large language models (LLMs), the models that underpin platforms such as ChatGPT and Gemini, are now used daily by more than a billion people worldwide. Some computer scientists have also been ...

Atlas, an artificial intelligence-native video game content creation platform, announced today that it has launched a multi-agent system within its AI Studio for game asset production. Atlas AI Studio ...